ADAPTIVE THRESHOLDING AND MORPHOLOGICAL ALGORITHM FOR MONITORING AND TRACKING OIL SPILLS
| Author(s) | : | Mukta Jagdish, Dr.Jerritta.S |
| Institution | : | Research Scholar, Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science Technology &Advanced Studies (VISTAS), Vels University, Chennai, TN, India |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 747-752 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This work aimed to compare adaptive thresholding and morphological techniques for oil spill detection andidentification using ASAR images in Gulf of Mexico. This comparing of algorithms helps us to find out tracking of oil spill,oil spill area, dark patches and spill patterns in radar images which help in regular monitoring of oil spill coverage area. Aswe know histogram based analysis requires one pass through pixel in satellite image. Morphological operation is based onthe structure analysis, in which some components are selected among all, which satisfy Gestalt principles such as (1)Proximity state that two objects are easier regard as a single object by a human being if those objects are close to eachother. (2) Good continuation states that objects are easier regard as a single object if they can be continued from one toother. After analysing both algorithm it results that morphological algorithm is more suitable for detection of oil spill withless time duration using radar images than adaptive thresholding technique.
Mukta Jagdish, Dr.Jerritta.S, “ADAPTIVE THRESHOLDING AND MORPHOLOGICAL ALGORITHM FOR MONITORING AND TRACKING OIL SPILLS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 747-752, February 2018.
